Multi-agent Online Planning Architecture for Real-time Compliance - Sorbonne Université
Communication Dans Un Congrès Année : 2023

Multi-agent Online Planning Architecture for Real-time Compliance

Hisashi Hayashi
  • Fonction : Auteur
Theodoros Mitsikas
  • Fonction : Auteur
Kanae Tsushima
  • Fonction : Auteur
Ralph Schäfermeier
  • Fonction : Auteur
Adrian Paschke
  • Fonction : Auteur
Ken Satoh
  • Fonction : Auteur

Résumé

Due to the recent rapid introduction of AI technologies into society, we face new risks related to AI. Therefore, it is very important to let AI be compliant with legal and ethical norms to reduce such risks. In this paper, we propose a method of compliance mechanism of AI agent planning in a multi-agent setting. We formalize legal norms as hard constraints which must be satisfied and ethical norms as soft constraints which should be satisfied as much as possible. Moreover, our mechanism can handle real-time exogenous environmental change by a replanning mechanism. We believe that our architecture is an important step towards "trustworthy AI".
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Dates et versions

hal-04320268 , version 1 (04-12-2023)

Identifiants

  • HAL Id : hal-04320268 , version 1

Citer

Hisashi Hayashi, Theodoros Mitsikas, Yousef Sojasi Taheri, Kanae Tsushima, Ralph Schäfermeier, et al.. Multi-agent Online Planning Architecture for Real-time Compliance. 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023, Sep 2023, Oslo, Norway. ⟨hal-04320268⟩
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